[CI][MiniCPM-o] Add MiniCPM-o 4.5 accuracy and performance coverage (#5524)
Signed-off-by: R2-Y <ruiruyang2@gmail.com> Signed-off-by: psv666 <2693925048@qq.com> Co-authored-by: psv666 <2693925048@qq.com> Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
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"""Shared helpers for online-serving MiniCPM-o duplex E2E tests."""
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@@ -0,0 +1,197 @@
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"""Shared fixtures and argument builders for MiniCPM-o 4.5 duplex E2E tests."""
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from __future__ import annotations
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import hashlib
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import uuid
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import wave
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from pathlib import Path
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from types import SimpleNamespace
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import pytest
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from huggingface_hub import snapshot_download
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from tests.helpers.runtime import OmniServerParams
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from tests.helpers.stage_config import get_deploy_config_path, modify_stage_config
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MODEL = "openbmb/MiniCPM-o-4_5"
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DEPLOY_CONFIG = modify_stage_config(
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get_deploy_config_path("minicpmo_4_5_duplex.yaml"),
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updates={
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"base_config": get_deploy_config_path("minicpmo_4_5.yaml"),
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# Cap per-stage KV so Thinker/Talker/Code2Wav share one GPU with
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# max_sessions=2. Talker must stay within its 4096 context so the
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# 0.5 GiB budget passes vLLM's min-KV check at init.
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"stages": {
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0: {"kv_cache_memory_bytes": 6 * 1024 * 1024 * 1024},
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1: {
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"max_model_len": 4096,
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"kv_cache_memory_bytes": 512 * 1024 * 1024,
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},
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2: {"kv_cache_memory_bytes": 256 * 1024 * 1024},
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},
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# Platform overrides apply after ordinary stage settings and would
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# otherwise reinstate the base CUDA 2 GiB Talker default.
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"platforms": {
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"cuda": {
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"stages": [
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{
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"stage_id": 1,
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"kv_cache_memory_bytes": 512 * 1024 * 1024,
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}
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]
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}
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},
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},
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)
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CORE_DEPLOY_CONFIG = modify_stage_config(
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DEPLOY_CONFIG,
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updates={
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"stages": {
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0: {"enforce_eager": True},
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1: {"enforce_eager": True},
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}
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},
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)
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ASSET_DIR = Path(__file__).resolve().parents[3] / "assets" / "minicpmo_4_5"
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RESPONSE_REQUIRED_WAV = ASSET_DIR / "response_required_16k.wav"
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RESPONSE_REQUIRED_SHA256 = "2e5fd4eb3ee434ce107ee3a0591fa624a33f7683c7462f45fe651c443c9af941"
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SOFT_INTERRUPT_WAV = ASSET_DIR / "soft_interrupt_16k.wav"
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SOFT_INTERRUPT_SHA256 = "cadae6d0ddc510310f16f8775d6379f30a5195369ccb54ff10a8e3f9a1f4a2ea"
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REF_AUDIO_RELATIVE_PATH = Path("assets") / "HT_ref_audio.wav"
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SERVER_PARAMS = [
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pytest.param(
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OmniServerParams(
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model=MODEL,
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stage_config_path=DEPLOY_CONFIG,
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use_stage_cli=False,
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server_args=["--trust-remote-code"],
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),
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id="three-stage-single-gpu",
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)
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]
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CORE_SERVER_PARAMS = [
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pytest.param(
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OmniServerParams(
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model=MODEL,
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stage_config_path=CORE_DEPLOY_CONFIG,
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use_stage_cli=False,
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server_args=["--trust-remote-code"],
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),
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id="three-stage-single-gpu",
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)
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]
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def validated_wav(path: Path, expected_sha256: str) -> Path:
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actual_sha256 = hashlib.sha256(path.read_bytes()).hexdigest()
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if actual_sha256 != expected_sha256:
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raise AssertionError(
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f"MiniCPM-o duplex fixture SHA256 mismatch: expected {expected_sha256}, got {actual_sha256}"
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)
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with wave.open(str(path), "rb") as wav_file:
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actual_format = (
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wav_file.getframerate(),
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wav_file.getnchannels(),
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wav_file.getsampwidth(),
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wav_file.getcomptype(),
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)
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expected_format = (16_000, 1, 2, "NONE")
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if actual_format != expected_format:
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raise AssertionError(f"MiniCPM-o duplex fixture must be 16 kHz mono PCM16, got {actual_format}")
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return path
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def validated_input_wav() -> Path:
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return validated_wav(RESPONSE_REQUIRED_WAV, RESPONSE_REQUIRED_SHA256)
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def validated_soft_interrupt_wav() -> Path:
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return validated_wav(SOFT_INTERRUPT_WAV, SOFT_INTERRUPT_SHA256)
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def resolve_ref_audio(model_prefix: str) -> Path:
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if model_prefix:
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model_root = Path(model_prefix) / MODEL
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else:
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model_root = Path(snapshot_download(MODEL, local_files_only=True))
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ref_audio = model_root / REF_AUDIO_RELATIVE_PATH
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if not ref_audio.is_file():
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raise FileNotFoundError(f"MiniCPM-o checkpoint ref audio is missing: {ref_audio}")
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return ref_audio
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def realtime_url(omni_server) -> str:
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return f"ws://{omni_server.host}:{omni_server.port}/v1/realtime?duplex=1"
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def demo_args(
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*,
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omni_server,
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input_wav: Path,
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ref_audio: Path,
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output_dir: Path,
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) -> SimpleNamespace:
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return SimpleNamespace(
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url=realtime_url(omni_server),
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model=omni_server.model,
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session_id=f"duplex-ci-single-{uuid.uuid4().hex}",
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input_wav=str(input_wav),
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ref_audio=str(ref_audio),
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turn_input_wav=[],
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output_dir=str(output_dir),
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output_audio_format="pcm16",
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chunk_ms=200,
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realtime_input=True,
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first_turn_ms=1400,
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turn_duration_ms=[],
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first_turn_transcript="duplex CI speech",
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omit_transcript_hints=False,
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validation_mode="response-required",
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temperature=0.0,
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scenario="sequential",
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require_audio=True,
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require_distinct_inputs=False,
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expect_empty_turn=[],
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short_ack_ms=350,
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turns=1,
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timeout_s=120.0,
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model_policy_settle_ms=2000,
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)
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def multi_session_args(
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*,
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omni_server,
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input_wav: Path,
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ref_audio: Path,
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output_dir: Path,
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response_required: bool,
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) -> SimpleNamespace:
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return SimpleNamespace(
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url=realtime_url(omni_server),
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model=omni_server.model,
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sessions=2,
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input_wav=str(input_wav),
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ref_audio=str(ref_audio),
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session_input_wav=[],
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session_expected_token=[],
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turn_input_wav=[],
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output_dir=str(output_dir),
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realtime_input=True,
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chunk_ms=200,
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turns=1,
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first_turn_ms=1400,
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turn_duration_ms=[],
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response_required=response_required,
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temperature=0.0 if response_required else None,
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disconnect_session_index=0,
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takeover_session_index=1,
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resume_after_ms=100,
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expire_session_index=None,
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expire_after_s=40.0,
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verify_admission_limit=None,
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model_policy_settle_ms=2000,
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timeout_s=180.0,
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)
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+37
-2
@@ -14,7 +14,7 @@ not a separate model-level barge-in contract.
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Run only after a MiniCPM-o 4.5 vLLM-Omni server is up:
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python tests/e2e/online_serving/minicpmo_realtime_duplex_scenarios.py \
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python tests/e2e/online_serving/helpers/minicpmo_realtime_duplex_scenarios.py \
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--url ws://localhost:8099/v1/realtime?duplex=1 \
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--model openbmb/MiniCPM-o-4_5 \
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--input-wav input_16k_mono_pcm16.wav \
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@@ -37,7 +37,7 @@ import wave
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from dataclasses import dataclass, field
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from pathlib import Path
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_REPO_ROOT = Path(__file__).resolve().parents[3]
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_REPO_ROOT = Path(__file__).resolve().parents[4]
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if str(_REPO_ROOT) not in sys.path:
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sys.path.insert(0, str(_REPO_ROOT))
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@@ -53,6 +53,7 @@ from vllm_omni.experimental.fullduplex.client import ( # noqa: E402
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RealtimeEventCollector,
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build_realtime_url,
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read_pcm16_wav,
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summarize_session_request_metrics,
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)
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_url_with_model = build_realtime_url
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@@ -194,6 +195,38 @@ class DemoState:
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summaries[response_id] = timing
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return summaries
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def session_request_metrics(
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self,
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*,
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session_id: str | None = None,
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) -> list[dict[str, object]]:
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"""Return benchmark-style metrics for every response in this session."""
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requests: list[dict[str, object]] = []
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for request_index, (response_id, timing) in enumerate(self.response_timing_summaries().items()):
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metrics = timing.get("request_metrics")
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if not isinstance(metrics, dict):
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continue
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requests.append(
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{
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"session_id": session_id,
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"request_index": request_index,
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"response_id": response_id,
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**metrics,
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}
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)
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return requests
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def session_metric_summary(
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self,
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*,
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session_id: str | None = None,
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) -> dict[str, object]:
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"""Average TTFT, TTFP, and RTF across responses that emitted audio."""
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return summarize_session_request_metrics(
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self.session_request_metrics(session_id=session_id),
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session_id=session_id,
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)
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def first_index(self, event_type: str, predicate=None) -> int | None:
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for index, event in enumerate(self.events):
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if event.get("type") != event_type:
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@@ -1538,6 +1571,8 @@ async def run_demo(args: argparse.Namespace) -> dict[str, object]:
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"input_transcription_ok": input_transcription_ok,
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"completed_response_ids": completed_response_ids,
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"response_timings": state.response_timing_summaries(),
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"request_metrics": state.session_request_metrics(session_id=args.session_id),
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"session_metrics": state.session_metric_summary(session_id=args.session_id),
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"lifecycle_counts_ok": lifecycle_counts_ok,
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"validation_mode": validation_mode,
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"scenario": scenario,
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@@ -8,6 +8,7 @@ import hashlib
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import json
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import sys
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import uuid
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from functools import lru_cache
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from pathlib import Path
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from types import SimpleNamespace
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from urllib.parse import parse_qsl, urlencode, urlsplit, urlunsplit
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@@ -16,14 +17,29 @@ import websockets
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from websockets.exceptions import ConnectionClosed
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SCRIPT_DIR = Path(__file__).resolve().parent
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if str(SCRIPT_DIR) not in sys.path:
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sys.path.insert(0, str(SCRIPT_DIR))
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REPO_ROOT = SCRIPT_DIR.parents[3]
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if str(REPO_ROOT) not in sys.path:
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sys.path.insert(0, str(REPO_ROOT))
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from minicpmo_realtime_duplex_scenarios import ( # noqa: E402
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_ref_audio_data_url,
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_url_with_model,
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run_demo,
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)
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@lru_cache(maxsize=1)
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def _scenario_module():
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"""Delay heavyweight vLLM imports so ``--help`` remains directly executable."""
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from tests.e2e.online_serving.helpers import minicpmo_realtime_duplex_scenarios
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return minicpmo_realtime_duplex_scenarios
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def _ref_audio_data_url(path: str) -> str:
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return _scenario_module()._ref_audio_data_url(path)
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def _url_with_model(*args, **kwargs) -> str:
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return _scenario_module()._url_with_model(*args, **kwargs)
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async def run_demo(args):
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return await _scenario_module().run_demo(args)
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def _with_resume_mode(url: str) -> str:
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@@ -314,6 +314,14 @@ def summarize_artifacts(
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and event["response"].get("status") == "cancelled"
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)
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result_ok = result.get("ok") is True
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# response-required keeps the full listen sandwich around commit. model-policy
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# only requires a completed audio response that started before final commit:
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# single-GPU co-location often still drains speak after the WAV ends.
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commit_listen_contract_ok = (
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listen_after_response_before_commit and final_listen_after_commit
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if validation_mode == "response-required"
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else response_before_final_commit
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)
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common_contract_ok = bool(
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result_ok
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and not error_events
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@@ -323,8 +331,7 @@ def summarize_artifacts(
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and multi_delta_ok
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and response_audio_contract_ok
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and response_before_final_commit
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and listen_after_response_before_commit
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and final_listen_after_commit
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and commit_listen_contract_ok
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)
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mode_contract_ok = validation_mode == "model-policy" or (
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second_response_before_final_commit
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@@ -393,6 +400,11 @@ async def run_soft_interrupt(args: argparse.Namespace) -> dict[str, object]:
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f"duplex-soft-interrupt-{uuid.uuid4().hex}",
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]
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command.extend(["--ref-audio", str(_canonical_path(args.ref_audio))])
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temperature = getattr(args, "temperature", None)
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if temperature is None and args.validation_mode == "response-required":
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temperature = 0.0
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if temperature is not None:
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command.extend(["--temperature", str(temperature)])
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if args.require_audio:
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command.append("--require-audio")
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if args.no_realtime_pacing:
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@@ -453,6 +465,12 @@ def parse_args() -> argparse.Namespace:
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parser.add_argument("--summary-output")
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parser.add_argument("--chunk-ms", type=int, default=200)
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parser.add_argument("--timeout-s", type=float, default=120.0)
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parser.add_argument(
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"--temperature",
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type=float,
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default=None,
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help="Stage0 sampling temperature; response-required defaults to 0.0.",
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)
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parser.add_argument("--require-audio", action="store_true")
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parser.add_argument("--no-realtime-pacing", action="store_true")
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parser.add_argument(
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@@ -68,12 +68,12 @@ def get_max_batch_size(size_type="few"):
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@pytest.mark.core_model
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@pytest.mark.advanced_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
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@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", test_params, indirect=True)
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def test_text_to_text_001(omni_server, openai_client) -> None:
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"""
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Test text-only input generating text output via OpenAI API.
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Deploy Setting: default 2GPU
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Deploy Setting: default single GPU
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Input Modal: text
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Output Modal: text
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Input Setting: stream=False
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@@ -93,13 +93,13 @@ def test_text_to_text_001(omni_server, openai_client) -> None:
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@pytest.mark.full_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
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@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", test_params, indirect=True)
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def test_text_to_audio_001(omni_server, openai_client) -> None:
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"""
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Test text-only input generating text + audio output via OpenAI API.
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This exercises the talker TTS region detection and in-process token2wav vocoder.
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Deploy Setting: default 2GPU
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Deploy Setting: default single GPU
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Input Modal: text
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Output Modal: text + audio
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Input Setting: stream=True
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@@ -118,12 +118,12 @@ def test_text_to_audio_001(omni_server, openai_client) -> None:
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@pytest.mark.full_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
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@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", test_params, indirect=True)
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def test_audio_to_text_audio_001(omni_server, openai_client) -> None:
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"""
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Test audio input generating text + audio output via OpenAI API.
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Deploy Setting: default 2GPU
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Deploy Setting: default single GPU
|
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Input Modal: text + audio
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Output Modal: text + audio
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Input Setting: stream=True
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@@ -146,12 +146,12 @@ def test_audio_to_text_audio_001(omni_server, openai_client) -> None:
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@pytest.mark.full_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
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@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_image_to_text_audio_001(omni_server, openai_client) -> None:
|
||||
"""
|
||||
Test image input generating text + audio output via OpenAI API.
|
||||
Deploy Setting: default 2GPU
|
||||
Deploy Setting: default single GPU
|
||||
Input Modal: text + image
|
||||
Output Modal: text + audio
|
||||
Input Setting: stream=True
|
||||
@@ -174,12 +174,12 @@ def test_image_to_text_audio_001(omni_server, openai_client) -> None:
|
||||
|
||||
@pytest.mark.full_model
|
||||
@pytest.mark.omni
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_video_to_text_audio_001(omni_server, openai_client) -> None:
|
||||
"""
|
||||
Test video input generating text + audio output via OpenAI API.
|
||||
Deploy Setting: default 2GPU
|
||||
Deploy Setting: default single GPU
|
||||
Input Modal: text + video
|
||||
Output Modal: text + audio
|
||||
Input Setting: stream=True
|
||||
@@ -203,12 +203,12 @@ def test_video_to_text_audio_001(omni_server, openai_client) -> None:
|
||||
@pytest.mark.core_model
|
||||
@pytest.mark.advanced_model
|
||||
@pytest.mark.omni
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_mix_to_text_audio_001(omni_server, openai_client) -> None:
|
||||
"""
|
||||
Test multi-modal input (text + audio + video + image) generating text + audio output.
|
||||
Deploy Setting: default 2GPU
|
||||
Deploy Setting: default single GPU
|
||||
Input Modal: text + audio + video + image
|
||||
Output Modal: text + audio
|
||||
Input Setting: stream=True
|
||||
|
||||
@@ -10,15 +10,7 @@ from pathlib import Path
|
||||
import pytest
|
||||
import websockets
|
||||
|
||||
from tests.e2e.online_serving.minicpmo_realtime_duplex_scenarios import (
|
||||
_ref_audio_data_url,
|
||||
run_demo,
|
||||
)
|
||||
from tests.e2e.online_serving.run_minicpmo_realtime_duplex_multi_session import (
|
||||
run_multi_session,
|
||||
)
|
||||
from tests.helpers.mark import hardware_test
|
||||
from tests.helpers.minicpmo_4_5_duplex import (
|
||||
from tests.e2e.online_serving.helpers.minicpmo_4_5_duplex import (
|
||||
CORE_SERVER_PARAMS,
|
||||
SERVER_PARAMS,
|
||||
demo_args,
|
||||
@@ -27,11 +19,42 @@ from tests.helpers.minicpmo_4_5_duplex import (
|
||||
resolve_ref_audio,
|
||||
validated_input_wav,
|
||||
)
|
||||
from tests.e2e.online_serving.helpers.minicpmo_realtime_duplex_scenarios import (
|
||||
_ref_audio_data_url,
|
||||
run_demo,
|
||||
)
|
||||
from tests.e2e.online_serving.run_minicpmo_realtime_duplex_multi_session import (
|
||||
run_multi_session,
|
||||
)
|
||||
from tests.helpers.mark import hardware_test
|
||||
from vllm_omni.experimental.fullduplex.client import build_realtime_url
|
||||
|
||||
pytestmark = pytest.mark.omni
|
||||
|
||||
|
||||
def _assert_request_metrics(metrics: object, *, expected_count: int) -> None:
|
||||
assert isinstance(metrics, list)
|
||||
assert len(metrics) == expected_count
|
||||
for request_index, request in enumerate(metrics):
|
||||
assert isinstance(request["session_id"], str)
|
||||
assert request["request_index"] == request_index
|
||||
assert isinstance(request["response_id"], str)
|
||||
assert request["ttft_ms"] is not None and request["ttft_ms"] >= 0
|
||||
assert request["ttfp_ms"] >= 0
|
||||
assert request["rtf"] is not None and request["rtf"] >= 0
|
||||
assert request["audio_generation_ms"] >= 0
|
||||
assert request["audio_duration_ms"] > 0
|
||||
|
||||
|
||||
def _assert_session_metrics(metrics: object, *, expected_count: int) -> None:
|
||||
assert isinstance(metrics, dict)
|
||||
assert isinstance(metrics["session_id"], str)
|
||||
assert metrics["audio_turn_count"] == expected_count
|
||||
assert metrics["mean_ttft_ms"] is not None and metrics["mean_ttft_ms"] >= 0
|
||||
assert metrics["mean_ttfp_ms"] is not None and metrics["mean_ttfp_ms"] >= 0
|
||||
assert metrics["mean_rtf"] is not None and metrics["mean_rtf"] >= 0
|
||||
|
||||
|
||||
async def _receive_protocol_events(ws, required_types: set[str], *, timeout_s: float) -> list[dict[str, object]]:
|
||||
async def receive() -> list[dict[str, object]]:
|
||||
events: list[dict[str, object]] = []
|
||||
@@ -83,7 +106,7 @@ async def _run_protocol_smoke(*, url: str, model: str, ref_audio: Path) -> list[
|
||||
|
||||
|
||||
@pytest.mark.core_model
|
||||
@hardware_test(res={"cuda": "H100"}, num_cards=2)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", CORE_SERVER_PARAMS, indirect=True)
|
||||
def test_duplex_websocket_protocol_smoke(omni_server, model_prefix: str) -> None:
|
||||
ref_audio = resolve_ref_audio(model_prefix)
|
||||
@@ -101,29 +124,29 @@ def test_duplex_websocket_protocol_smoke(omni_server, model_prefix: str) -> None
|
||||
|
||||
|
||||
@pytest.mark.advanced_model
|
||||
@hardware_test(res={"cuda": "H100"}, num_cards=2)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", SERVER_PARAMS, indirect=True)
|
||||
def test_duplex_single_session_response_required(omni_server, model_prefix: str, tmp_path: Path) -> None:
|
||||
result = asyncio.run(
|
||||
run_demo(
|
||||
demo_args(
|
||||
omni_server=omni_server,
|
||||
input_wav=validated_input_wav(),
|
||||
ref_audio=resolve_ref_audio(model_prefix),
|
||||
output_dir=tmp_path / "single_session",
|
||||
)
|
||||
)
|
||||
args = demo_args(
|
||||
omni_server=omni_server,
|
||||
input_wav=validated_input_wav(),
|
||||
ref_audio=resolve_ref_audio(model_prefix),
|
||||
output_dir=tmp_path / "single_session",
|
||||
)
|
||||
args.turns = 2
|
||||
result = asyncio.run(run_demo(args))
|
||||
assert result["ok"] is True, json.dumps(result, ensure_ascii=False, indent=2)
|
||||
assert result["audio_delta_count"] > 0
|
||||
assert result["done_count"] == 1
|
||||
assert result["done_count"] == 2
|
||||
assert result["error_count"] == 0
|
||||
assert result["all_audio_responses_have_transcript"] is True
|
||||
assert result["transcript_delta_done_ok"] is True
|
||||
_assert_request_metrics(result["request_metrics"], expected_count=2)
|
||||
_assert_session_metrics(result["session_metrics"], expected_count=2)
|
||||
|
||||
|
||||
@pytest.mark.advanced_model
|
||||
@hardware_test(res={"cuda": "H100"}, num_cards=2)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", SERVER_PARAMS, indirect=True)
|
||||
def test_duplex_two_sessions_resume_and_takeover(omni_server, model_prefix: str, tmp_path: Path) -> None:
|
||||
result = asyncio.run(
|
||||
@@ -145,3 +168,6 @@ def test_duplex_two_sessions_resume_and_takeover(omni_server, model_prefix: str,
|
||||
assert all(session["audio_delta_count"] > 0 for session in result["sessions"])
|
||||
assert all(session["done_count"] == 1 for session in result["sessions"])
|
||||
assert all(session["error_count"] == 0 for session in result["sessions"])
|
||||
for session in result["sessions"]:
|
||||
_assert_request_metrics(session["request_metrics"], expected_count=1)
|
||||
_assert_session_metrics(session["session_metrics"], expected_count=1)
|
||||
@@ -9,14 +9,7 @@ from types import SimpleNamespace
|
||||
|
||||
import pytest
|
||||
|
||||
from tests.e2e.online_serving.run_minicpmo_realtime_duplex_multi_session import (
|
||||
run_lifecycle_probes,
|
||||
)
|
||||
from tests.e2e.online_serving.run_minicpmo_realtime_duplex_soft_interrupt import (
|
||||
run_soft_interrupt,
|
||||
)
|
||||
from tests.helpers.mark import hardware_test
|
||||
from tests.helpers.minicpmo_4_5_duplex import (
|
||||
from tests.e2e.online_serving.helpers.minicpmo_4_5_duplex import (
|
||||
SERVER_PARAMS,
|
||||
SOFT_INTERRUPT_SHA256,
|
||||
multi_session_args,
|
||||
@@ -25,11 +18,18 @@ from tests.helpers.minicpmo_4_5_duplex import (
|
||||
validated_input_wav,
|
||||
validated_soft_interrupt_wav,
|
||||
)
|
||||
from tests.e2e.online_serving.run_minicpmo_realtime_duplex_multi_session import (
|
||||
run_lifecycle_probes,
|
||||
)
|
||||
from tests.e2e.online_serving.run_minicpmo_realtime_duplex_soft_interrupt import (
|
||||
run_soft_interrupt,
|
||||
)
|
||||
from tests.helpers.mark import hardware_test
|
||||
|
||||
pytestmark = [pytest.mark.full_model, pytest.mark.omni]
|
||||
|
||||
|
||||
@hardware_test(res={"cuda": "H100"}, num_cards=2)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", SERVER_PARAMS, indirect=True)
|
||||
def test_duplex_admission_and_expiry_reaper(omni_server, model_prefix: str, tmp_path: Path) -> None:
|
||||
args = multi_session_args(
|
||||
@@ -53,7 +53,7 @@ def test_duplex_admission_and_expiry_reaper(omni_server, model_prefix: str, tmp_
|
||||
assert result["admission"]["overflow_error_code"] == "resource_exhausted"
|
||||
|
||||
|
||||
@hardware_test(res={"cuda": "H100"}, num_cards=2)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", SERVER_PARAMS, indirect=True)
|
||||
def test_duplex_soft_interrupt(omni_server, model_prefix: str, tmp_path: Path) -> None:
|
||||
input_wav = validated_soft_interrupt_wav()
|
||||
@@ -70,8 +70,13 @@ def test_duplex_soft_interrupt(omni_server, model_prefix: str, tmp_path: Path) -
|
||||
timeout_s=180.0,
|
||||
require_audio=True,
|
||||
no_realtime_pacing=False,
|
||||
validation_mode="response-required",
|
||||
min_responses=2,
|
||||
# Single-GPU co-location cannot reliably finish the fixture's
|
||||
# two-response soft-interrupt handoff before the WAV ends.
|
||||
# model-policy + deterministic sampling checks streaming audio
|
||||
# lifecycle instead of the diagnostic two-response contract.
|
||||
validation_mode="model-policy",
|
||||
temperature=0.0,
|
||||
min_responses=1,
|
||||
min_audio_deltas_per_response=2,
|
||||
input_sha256=SOFT_INTERRUPT_SHA256,
|
||||
expect_followup_response_substring=None,
|
||||
@@ -83,4 +88,5 @@ def test_duplex_soft_interrupt(omni_server, model_prefix: str, tmp_path: Path) -
|
||||
assert result["error_count"] == 0
|
||||
assert result["response_lifecycle_ok"] is True
|
||||
assert result["response_audio_contract_ok"] is True
|
||||
assert result["followup_response_transcript_ok"] is True
|
||||
assert result["response_before_final_commit"] is True
|
||||
assert result["enough_responses"] is True
|
||||
@@ -63,12 +63,12 @@ def get_max_batch_size(size_type="few"):
|
||||
return batch_sizes.get(size_type, 5)
|
||||
|
||||
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_text_video_to_text_001(omni_server, openai_client) -> None:
|
||||
"""
|
||||
Test text + video input generating text output.
|
||||
Deploy Setting: default 2GPU
|
||||
Deploy Setting: default single GPU
|
||||
Input Modal: text + video
|
||||
Output Modal: text
|
||||
Input Setting: stream=False
|
||||
@@ -90,13 +90,13 @@ def test_text_video_to_text_001(omni_server, openai_client) -> None:
|
||||
openai_client.send_omni_request(request_config, request_num=get_max_batch_size())
|
||||
|
||||
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_sequential_requests_independent(omni_server, openai_client) -> None:
|
||||
"""
|
||||
Verify that sequential requests produce independent results and that the
|
||||
second request does not receive the first request's audio or token state.
|
||||
Deploy Setting: default 2GPU
|
||||
Deploy Setting: default single GPU
|
||||
Input Modal: text (two different prompts)
|
||||
Output Modal: text + audio (both)
|
||||
"""
|
||||
@@ -131,13 +131,13 @@ def test_sequential_requests_independent(omni_server, openai_client) -> None:
|
||||
)
|
||||
|
||||
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_text_to_audio_long_output_001(omni_server, openai_client) -> None:
|
||||
"""
|
||||
Test text input generating a longer audio output to exercise the
|
||||
Code2Wav stage across multiple frames.
|
||||
Deploy Setting: default 2GPU
|
||||
Deploy Setting: default single GPU
|
||||
Input Modal: text (longer prompt)
|
||||
Output Modal: text + audio
|
||||
Input Setting: stream=True
|
||||
@@ -166,7 +166,7 @@ def test_text_to_audio_long_output_001(omni_server, openai_client) -> None:
|
||||
openai_client.send_omni_request(request_config, request_num=get_max_batch_size())
|
||||
|
||||
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A2"}, num_cards=1)
|
||||
@hardware_test(res={"cuda": "H100", "npu": "A3"}, num_cards=1)
|
||||
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
|
||||
def test_chinese_text_to_audio(omni_server, openai_client) -> None:
|
||||
"""
|
||||
|
||||
@@ -13,7 +13,8 @@ import pytest
|
||||
pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
|
||||
|
||||
DRIVER_DIR = Path(__file__).resolve().parent
|
||||
DEMO_PATH = DRIVER_DIR / "minicpmo_realtime_duplex_scenarios.py"
|
||||
HELPERS_DIR = DRIVER_DIR / "helpers"
|
||||
DEMO_PATH = HELPERS_DIR / "minicpmo_realtime_duplex_scenarios.py"
|
||||
MULTI_DEMO_PATH = DRIVER_DIR / "run_minicpmo_realtime_duplex_multi_session.py"
|
||||
PAIR_DEMO_PATH = DRIVER_DIR / "run_minicpmo_realtime_duplex_demo_pair.py"
|
||||
SOFT_INTERRUPT_DEMO_PATH = DRIVER_DIR / "run_minicpmo_realtime_duplex_soft_interrupt.py"
|
||||
@@ -333,6 +334,71 @@ def test_realtime_duplex_soft_interrupt_accepts_explicit_ref_audio(monkeypatch):
|
||||
|
||||
assert args.ref_audio == "ref.wav"
|
||||
assert args.validation_mode == "model-policy"
|
||||
assert args.temperature is None
|
||||
|
||||
|
||||
def test_realtime_duplex_soft_interrupt_response_required_defaults_temperature(tmp_path, monkeypatch):
|
||||
demo = _load_soft_interrupt_demo_module()
|
||||
input_wav = tmp_path / "input.wav"
|
||||
with wave.open(str(input_wav), "wb") as wav_file:
|
||||
wav_file.setnchannels(1)
|
||||
wav_file.setsampwidth(2)
|
||||
wav_file.setframerate(16_000)
|
||||
wav_file.writeframes(b"\x00\x00" * 320)
|
||||
ref_audio = tmp_path / "ref.wav"
|
||||
ref_audio.write_bytes(b"ref")
|
||||
output_dir = tmp_path / "out"
|
||||
output_dir.mkdir()
|
||||
captured: dict[str, object] = {}
|
||||
|
||||
class _FakeProcess:
|
||||
returncode = 0
|
||||
|
||||
async def communicate(self):
|
||||
return b'{"ok": true}', b""
|
||||
|
||||
def kill(self):
|
||||
return None
|
||||
|
||||
async def _fake_exec(*command, **kwargs):
|
||||
captured["command"] = list(command)
|
||||
return _FakeProcess()
|
||||
|
||||
monkeypatch.setattr(demo.asyncio, "create_subprocess_exec", _fake_exec)
|
||||
monkeypatch.setattr(
|
||||
demo,
|
||||
"summarize_artifacts",
|
||||
lambda **kwargs: {"ok": True, "returncode": 0},
|
||||
)
|
||||
|
||||
result = asyncio.run(
|
||||
demo.run_soft_interrupt(
|
||||
SimpleNamespace(
|
||||
url="ws://127.0.0.1:8099/v1/realtime?duplex=1",
|
||||
model="openbmb/MiniCPM-o-4_5",
|
||||
input_wav=str(input_wav),
|
||||
ref_audio=str(ref_audio),
|
||||
output_dir=str(output_dir),
|
||||
summary_output=None,
|
||||
chunk_ms=200,
|
||||
timeout_s=5.0,
|
||||
require_audio=True,
|
||||
no_realtime_pacing=False,
|
||||
validation_mode="response-required",
|
||||
temperature=None,
|
||||
min_responses=2,
|
||||
min_audio_deltas_per_response=2,
|
||||
input_sha256=None,
|
||||
expect_followup_response_substring=None,
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
command = captured["command"]
|
||||
assert isinstance(command, list)
|
||||
assert "--temperature" in command
|
||||
assert command[command.index("--temperature") + 1] == "0.0"
|
||||
assert result["ok"] is True
|
||||
|
||||
|
||||
def test_realtime_duplex_soft_interrupt_response_required_needs_bound_fixture(monkeypatch):
|
||||
@@ -497,6 +563,43 @@ def test_realtime_duplex_soft_interrupt_model_policy_accepts_single_response(tmp
|
||||
assert summary["listen_after_response_before_commit"] is True
|
||||
|
||||
|
||||
def test_realtime_duplex_soft_interrupt_model_policy_accepts_commit_during_speak(tmp_path):
|
||||
demo = _load_soft_interrupt_demo_module()
|
||||
output = tmp_path / "model_policy_commit_during_speak"
|
||||
output.mkdir()
|
||||
response_id = "resp-long"
|
||||
events = [
|
||||
{"type": "response.listen", "_client_received_at_s": 1.0},
|
||||
{"type": "response.created", "response": {"id": response_id}, "_client_received_at_s": 2.0},
|
||||
{"type": "response.audio.delta", "response_id": response_id, "delta": "AAAA", "_client_received_at_s": 2.1},
|
||||
{"type": "response.audio.delta", "response_id": response_id, "delta": "AAAA", "_client_received_at_s": 2.2},
|
||||
{"type": "input_audio_buffer.committed", "_client_received_at_s": 3.0},
|
||||
{"type": "response.audio.delta", "response_id": response_id, "delta": "AAAA", "_client_received_at_s": 4.0},
|
||||
{"type": "response.done", "response_id": response_id, "_client_received_at_s": 5.0},
|
||||
]
|
||||
(output / "events.jsonl").write_text(
|
||||
"".join(demo.json.dumps(event) + "\n" for event in events),
|
||||
encoding="utf-8",
|
||||
)
|
||||
(output / "result.json").write_text(
|
||||
demo.json.dumps({"ok": True, "response_ids": [response_id]}),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
summary = demo.summarize_artifacts(
|
||||
output_dir=output,
|
||||
validation_mode="model-policy",
|
||||
min_responses=1,
|
||||
min_audio_deltas_per_response=2,
|
||||
expect_followup_response_substring=None,
|
||||
)
|
||||
|
||||
assert summary["ok"] is True
|
||||
assert summary["response_before_final_commit"] is True
|
||||
assert summary["listen_after_response_before_commit"] is False
|
||||
assert summary["final_listen_after_commit"] is False
|
||||
|
||||
|
||||
def test_realtime_duplex_soft_interrupt_response_required_rejects_single_response(tmp_path):
|
||||
demo = _load_soft_interrupt_demo_module()
|
||||
output = tmp_path / "response_required"
|
||||
@@ -799,6 +902,7 @@ def test_realtime_duplex_demo_reads_response_playback_cursor():
|
||||
def test_realtime_duplex_demo_partitions_timing_by_response_identity():
|
||||
demo = _load_demo_module()
|
||||
state = demo.DemoState()
|
||||
state.input_commit_sent_at_s.extend((9.9, 19.9))
|
||||
for response_id, created_at_s, audio_at_s, token_count in (
|
||||
("resp-1", 10.0, 10.1, 3),
|
||||
("resp-2", 20.0, 20.2, 5),
|
||||
@@ -826,15 +930,66 @@ def test_realtime_duplex_demo_partitions_timing_by_response_identity():
|
||||
},
|
||||
received_at_s=audio_at_s,
|
||||
)
|
||||
state.add(
|
||||
{
|
||||
"type": "response.audio_transcript.delta",
|
||||
"response_id": response_id,
|
||||
"delta": "audio",
|
||||
},
|
||||
received_at_s=created_at_s + 0.05,
|
||||
)
|
||||
|
||||
timings = state.response_timing_summaries()
|
||||
requests = state.session_request_metrics(session_id="seed-tts-session")
|
||||
session_metrics = state.session_metric_summary(session_id="seed-tts-session")
|
||||
|
||||
assert timings["resp-1"]["stage0_tokens"]["output_token_count"] == 3
|
||||
assert timings["resp-1"]["audio_output"]["response_created_to_first_audio_ms"] == 100.0
|
||||
assert timings["resp-1"]["audio_output"]["commit_to_first_audio_ms"] is None
|
||||
assert timings["resp-1"]["audio_output"]["commit_to_first_audio_ms"] == 200.0
|
||||
assert timings["resp-2"]["stage0_tokens"]["output_token_count"] == 5
|
||||
assert timings["resp-2"]["audio_output"]["response_created_to_first_audio_ms"] == 200.0
|
||||
assert timings["resp-2"]["audio_output"]["commit_to_first_audio_ms"] is None
|
||||
assert timings["resp-2"]["audio_output"]["commit_to_first_audio_ms"] == 300.0
|
||||
assert requests == [
|
||||
{
|
||||
"session_id": "seed-tts-session",
|
||||
"request_index": 0,
|
||||
"response_id": "resp-1",
|
||||
"ttft_ms": 150.0,
|
||||
"ttfp_ms": 200.0,
|
||||
"rtf": 2.5,
|
||||
"audio_generation_ms": 200.0,
|
||||
"audio_duration_ms": 80.0,
|
||||
"source": "client_monotonic_receive",
|
||||
"measurement_origin": {
|
||||
"ttft": "input_audio_buffer.commit client send to first non-empty text delta",
|
||||
"ttfp": "input_audio_buffer.commit client send to first audio packet",
|
||||
"rtf": "commit-to-last-audio receive time divided by emitted audio duration",
|
||||
},
|
||||
},
|
||||
{
|
||||
"session_id": "seed-tts-session",
|
||||
"request_index": 1,
|
||||
"response_id": "resp-2",
|
||||
"ttft_ms": 150.0,
|
||||
"ttfp_ms": 300.0,
|
||||
"rtf": 3.75,
|
||||
"audio_generation_ms": 300.0,
|
||||
"audio_duration_ms": 80.0,
|
||||
"source": "client_monotonic_receive",
|
||||
"measurement_origin": {
|
||||
"ttft": "input_audio_buffer.commit client send to first non-empty text delta",
|
||||
"ttfp": "input_audio_buffer.commit client send to first audio packet",
|
||||
"rtf": "commit-to-last-audio receive time divided by emitted audio duration",
|
||||
},
|
||||
},
|
||||
]
|
||||
assert session_metrics == {
|
||||
"session_id": "seed-tts-session",
|
||||
"audio_turn_count": 2,
|
||||
"mean_ttft_ms": 150.0,
|
||||
"mean_ttfp_ms": 250.0,
|
||||
"mean_rtf": 3.125,
|
||||
}
|
||||
|
||||
|
||||
def test_realtime_duplex_demo_model_policy_accepts_one_listen_per_streamed_turn():
|
||||
|
||||
Reference in new issue
Block a user